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兰州理工大学 [6]

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武汉岩土力学研究所 [1]

武汉理工大学 [1]

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	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration
	Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Wu, Jie 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/02/17 Complex networks Convolution Convolutional neural networks Deep neural networks Failure analysis Fault detection Fault classification Feature representation Hierarchical fusions Mechanical fault diagnosis Multi-sensor information fusion Multisensor data fusion One-dimensional features Softmax regressions
	Study on Mechanical Properties of the Basalt Fiber-Rubber Granular Concrete under Triaxial Stress Condition and Its Application 期刊论文 APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 23, 页码: 18 作者: Wu, Duohua; Li, Zhiwen; Li, Juli; Peng, Bo; Shen, Hui 收藏 \| 浏览/下载：126/0 \| 提交时间：2021/05/25 soft rock roadways failure features basalt fiber rubber granular compression tests strain-softening
	Improved Alexnet Based Fault Diagnosis Method for Rolling Bearing Under Variable Conditions 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 3, 页码: 472-480 作者: Zhao, Xiaoqiang; Zhang, Qingqing 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Convolution Failure analysis Fault detection Iterative methods Time domain analysis Complex condition Fault diagnosis method Iterative Optimization State identification Time-domain signal Two-dimensional features Two-dimensional spectrum Variable conditions
	Robust correlation filter tracking with deep semantic supervision 期刊论文 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760 作者: Wang, Wei; Chen, Zhaoming; Douadji, Lyes; Shi, Mingquan 收藏 \| 浏览/下载：72/0 \| 提交时间：2019/06/24 particle filtering (numerical methods) learning (artificial intelligence) target tracking convolutional neural nets robust correlation filter tracking high tracking performance tracking failure deep semantic supervision tracking framework redetection tracking mechanism particle filtering resampling CF tracker deep convolutional neural network tracking frames target occlusion handcrafted features real-time performance OTB2013 benchmark datasets OTB2015 benchmark datasets
	Refill friction stir spot welding of 5083-O aluminum alloy 期刊论文 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2018, 卷号: 34, 期号: 5, 页码: 878-885 作者: Xu Zhiwu; Li Zhengwei; Ji Shude; Zhang Liguo 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/02/02 MECHANICAL-PROPERTIES MICROSTRUCTURE OPTIMIZATION SHEETS AL PARAMETERS AA6181-T4 FEATURES JOINTS Refill friction stir spot welding Keyhole Secondary phases Microhardness Lap shear failure loada
	Refill friction stir spot welding of 5083-O aluminum alloy 期刊论文 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2018, 卷号: 34, 期号: 5, 页码: 878-885 作者: Xu Zhiwu; Li Zhengwei; Ji Shude; Zhang Liguo 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/02/02 MECHANICAL-PROPERTIES MICROSTRUCTURE OPTIMIZATION SHEETS AL PARAMETERS AA6181-T4 FEATURES JOINTS Refill friction stir spot welding Keyhole Secondary phases Microhardness Lap shear failure loada
	Gear tooth surface damage diagnosis based on analyzing the vibration signal of an individual gear tooth 期刊论文 Advances in Mechanical Engineering, 2017, 卷号: 9, 期号: 6, 页码: 168781401770435- 作者: Fan, Qingrong; Zhou, Qi; Wu, Chaoqun; Guo, Min* 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/04 Failure diagnosis Features Gear Support vector machines Vibration signal
	Small sample size fault data recognition based on the principal component analysis and kernel local Fisher discriminant analysis 期刊论文 Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2015, 卷号: 43, 期号: 12, 页码: 12-16 作者: Zhao, Rongzhen; Wang, Xuedong; Deng, Linfeng 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/14 Discriminant analysis Failure analysis Fisher information matrix Principal component analysis Classification features Data dimension reduction Dimension reduction Fault data Gaussian kernels High-dimensional Local Fisher Discriminant Analysis Small Sample Size
	Weighted KPCA based on fault feature selection and feature information fusion 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 卷号: 33, 期号: 9, 页码: 89-93+121 作者: Zhang, Heng; Zhao, Rong-Zhen 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Failure analysis Frequency domain analysis Information fusion Machinery Principal component analysis Time domain analysis Corresponding relations Fault characteristics Fault feature selections Feature information Feature selection methods Kernel principal component analyses (KPCA) Sensitive features Time frequency domain

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